Conversational ai with rasa full#
It’s a full toolset for extracting the important keywords, or entities, from user messages, as well as the meaning or intent behind those messages. Rasa Open source is a robust platform that includes natural language understanding and open source natural language processing. The difference between NLP and NLU is that natural language understanding goes beyond converting text to its semantic parts and interprets the significance of what the user has said.
Natural language understanding is a subset of NLP that classifies the intent, or meaning, of text based on the context and content of the message. Natural language processing is a category of machine learning that analyzes freeform text and turns it into structured data. Rasa Open Source is the most flexible and transparent solution for conversational AI-and open source means you have complete control over building an NLP chatbot that really helps your users. Get up and running fast with easy to use default configurations, or swap out custom components and fine-tune hyperparameters to get the best possible performance for your dataset. Based on lower-level machine learning libraries like Tensorflow and spaCy, Rasa Open Source provides natural language processing software that’s approachable and as customizable as you need. Rasa Open Source provides open source natural language processing to turn messages from your users into intents and entities that chatbots understand.
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